Answer Capsule
Muck Rack is a good — not perfect — fit for AI Citation Services for Building Third-Party Authority. Three of the seven platforms that evaluated it named Muck Rack during the ranking stage (deepseek, grok, openai), and it finished first overall with an average listed rank of 4.0 and a best rank of 1. Its strongest asset is Generative Pulse, which attributes AI citations back to specific journalists and outlets, plus a media database and monitoring stack that supports earned-media outreach. The main limitation is that Muck Rack measures and prioritizes coverage rather than guaranteeing AI citations, and it does not architect authority across review sites, directories, or communities.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (deepseek, grok, openai) |
| Share of included platform responses | 42.9% |
| Average listed rank | 4.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Muck Rack PR platform with Generative Pulse; Standard Plan most commonly referenced tier |
| Overall use-case fit | Good (platform fit ratings: grok strong; openai, anthropic, google, perplexity good; deepseek, kimi mixed) |
| Research date | 2026-09-17 |
Why Muck Rack Qualified for This Study
Questions This Section Answers
- Is Muck Rack a good choice for AI Citation Services for Building Third-Party Authority?
- How many AI platforms named Muck Rack in the ranking stage for third-party authority building?
Muck Rack qualified because it was named during ranking discovery by three of the seven platforms that evaluated the category — deepseek, grok, and openai — giving it a 42.9% share of included platform responses [1]. It finished first overall in the final ranking with an average listed rank of 4.0 and a best rank of 1.
The qualification is not unanimous. Four platforms (anthropic, google, kimi, perplexity) evaluated Muck Rack's fit for this use case but did not name it during the ranking stage, so the mention count reflects ranking discovery only, not total evaluation coverage.
Muck Rack's relevance to the category rests on a specific capability: identifying which journalists and outlets appear as cited sources in AI-generated responses, then connecting that signal to media outreach [4]. That maps directly onto the study's criteria of identifying independent publishers, review sites, industry resources, communities, and directories that appear in a category's citation architecture.
The qualification also carries caveats. One platform's official-site retrieval failed during ranking-stage normalization, and Muck Rack's own homepage could not be fetched [3]. Independent reporting also notes a 2025 layoff affecting roughly 19% of staff, which is a vendor-stability consideration rather than a product-capability finding [5].
The Product, Model, Plan, or Service Most Relevant to AI Citation Services for Building Third-Party Authority
Questions This Section Answers
- Which Muck Rack plan should a buyer choose if they need AI citation tracking for third-party authority?
- Is Generative Pulse included in the Muck Rack Standard Plan, or does it require the Premier tier?
The most relevant offering is the Muck Rack PR platform — specifically its media database, monitoring and reporting capabilities, AI Visibility Badges, and Generative Pulse — with the Standard Plan the most commonly referenced tier across platform responses [6].
Generative Pulse is the feature that matters most for this use case. Muck Rack states it is integrated directly into the PR platform, so AI visibility insights flow into journalist discovery, pitching, monitoring, and reporting workflows [7]. It connects AI brand appearances to the journalists and outlets that created the source material [9], and it reports a visibility score across ChatGPT, Claude, and Gemini while attributing citations to named journalists [10].
Tier availability is genuinely unclear and buyers should treat it as unresolved. One Muck Rack communication states Generative Pulse is available as part of a Premier subscription [12]. A separate September 2026 announcement describes availability to Brand Premier and Agency Premier customers [14]. Another independent comparison states that Curation Engine, Generative Pulse, and AI-powered sentiment are restricted to Premier-tier only [15]. Standard Plan access to Generative Pulse is not explicitly confirmed in the supplied evidence.
The Standard Plan is described in Muck Rack's public comparison table as including media monitoring, media database and pitching, reporting, instructor-led onboarding, named customer success, and Generative Pulse [16]. Independent sources describe Standard as adding unlimited media list exports and AI-powered journalist recommendations over Starter [17]. These two descriptions conflict on whether Generative Pulse sits in Standard, and the conflict is not resolved by the supplied evidence.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Muck Rack does well for building third-party authority?
- Does Muck Rack actually measure whether earned media drives AI citations?
Platforms broadly agreed on three points: Muck Rack has a strong journalist and outlet database, it monitors earned coverage across multiple media types, and Generative Pulse is the feature most directly tied to AI citation visibility.
On the database and monitoring layer, Muck Rack monitors digital, broadcast, podcasts, print, and social coverage with alerts, AI summaries, relevance classification, and reporting [19]. It reports more than 40,000 publication licenses [20], and a 2023 company announcement cited expanded global monitoring covering more than 600,000 news sources [21]. A separate Business Wire release describes monitoring across more than 600,000 global news sources and more than 3.5 million articles a day [22]. These coverage figures are company-reported and were not independently validated in the reviewed sources.
On AI citation measurement, multiple platforms converged. Generative Pulse tells users whether contacts produce coverage that shows up in AI answers [23], and it uses actual consumer search behavior across ChatGPT, Gemini, and Google AI to recommend prompts brands should monitor [24]. Muck Rack's own research — an analysis of more than 25 million links — found earned third-party media accounts for 84% of AI citations [25]. That research is company-produced and should be read as vendor-reported.
On the earned-media premise, independent sources agree that AI search systems rely heavily on earned media over owned content [27]. One independent review notes that all major Muck Rack alternatives share the same measurement gap — none track whether the earned media they help generate actually drives AI citations at scale [28].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about whether Muck Rack is a strong or mixed fit for AI citation services?
- Does Muck Rack track third-party citations beyond journalism, such as review sites and directories?
Fit ratings diverged materially. Grok rated Muck Rack a strong fit; openai, anthropic, google, and perplexity rated it good; deepseek and kimi rated it mixed. That spread is the single clearest signal in the evidence: the platforms agree on what Muck Rack does, but not on how much of this use case it covers.
The core disagreement is scope. One group treats Generative Pulse as a direct answer to the use case because it attributes AI citations to journalists and outlets [29]. Another group argues the platform stops at measurement and cannot secure the earned media placements that drive outcomes [31]. One independent source states plainly that AI search visibility tools like Generative Pulse do not directly build citation links [33].
A second disagreement concerns non-journalism sources. Multiple platforms note that Muck Rack does not natively track review sites, industry directories, community forums, or comparison articles [34]. One platform states that whether Muck Rack's media database includes non-journalist sources such as Reddit moderators, G2 editors, or podcast hosts is unconfirmed [36].
A third uncertainty is engine coverage. Generative Pulse tracks ChatGPT, Claude, and Gemini [37]. One independent comparison states Meltwater's GenAI Lens covers more LLMs, including Grok, Mistral, and Llama [38].
Database gaps are also disputed. Independent reviews cite limited international coverage, missing contact details such as phone numbers or titles, and missing freelancers or junior reporters [39]. One platform notes Muck Rack's public pages do not fully disclose the AI engines, geographic scope, query corpus, citation definitions, sampling design, or historical retention behind its AI visibility features [40].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What Muck Rack features help a buyer identify publishers that AI systems cite?
- Can Muck Rack connect media pitching to AI citation outcomes in one workflow?
Muck Rack's use-case value comes from four connected capabilities: source discovery, AI visibility signals, coverage monitoring, and an integrated pitch-to-reporting workflow.
Source discovery runs through the media database, which supports searches by topic, outlet, location, scope, keyword, beat, and recent-coverage context, with contextual journalist results [41]. The database indexes and enriches hundreds of millions of data points using AI and a research team [42]. An AI model generates tailored journalist recommendations based on proprietary data about the people and stories making the news [43].
AI visibility signals come from AI Visibility Badges, which Muck Rack states identify journalists and outlets that appear frequently as cited sources in AI-generated responses [44]. This is the most directly relevant feature to the study criteria, though the public materials do not specify all covered AI systems, query methodology, citation thresholds, or validation procedures [45].
Coverage monitoring spans online, broadcast, podcast, print, and social, with alerts, AI-assisted relevance classification, summaries, sentiment, prominence, and reporting [46]. Broadcast monitoring includes real-time alerts and archived coverage search [48].
The workflow layer connects these pieces. Muck Rack states Generative Pulse is integrated into the PR platform and connected to journalist discovery, pitching, monitoring, and reporting [49]. Reporting includes coverage reports, sentiment, trends, share of voice, competitor monitoring, and referral traffic [47].
Two capability limits matter for this use case. First, the product does not itself create independent editorial authority or guarantee publication, directory inclusion, or citation by an AI answer engine [44]. Second, the platform assumes PR-led outreach as the primary authority mechanism and does not help architect or measure multi-channel third-party citation growth across reviews, directories, communities, analyst coverage, or research sources [51].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Muck Rack cost per year, and is there a month-to-month option?
- What add-on fees should a buyer expect beyond the Muck Rack base subscription?
Muck Rack does not publish list pricing. Its public pricing page lists Starter, Standard, and Premier packages and states that the comprehensive PR platform requires a paid subscription with custom pricing [53]. Independent sources consistently describe quote-based annual contracts with no monthly or free option [55].
Reported price ranges vary widely and should be treated as estimates only. Independent sources report Standard at roughly $10,000–$15,000 annually with a median near $12,750/year, Starter around $5,000/year, and Premier at $15,000–$25,000+ annually [57]. One platform reports Premier accounts frequently reaching $50,000 or more annually [54]. Vendr reports many small-team contracts at $10,000–$25,000 annually with larger deployments scaling materially higher [60]. One platform reports SMB plans averaging about $12,874/year and enterprise plans averaging about $78,996/year [57]. Another source reports ranges from $5,000 to $40,000+ annually depending on source [57].
Add-ons are a real cost variable. Muck Rack identifies add-ons including broadcast monitoring, social listening, and press-release distribution [53]. One platform reports add-ons can increase total cost by 10–30% above base subscription [57]. Print content full-text access is described as an add-on in a Business Wire release [61]. Social listening via Keyhole integration and GlobeNewswire press release distribution are described as add-ons [54].
Contract terms are restrictive. Independent sources say contracts are annual only with no monthly option, no free trial, and no money-back guarantee [56]. Multi-year agreements of two to three years typically receive discounts, and pricing is described as negotiable, especially near quarter-end [56]. Public materials reviewed did not disclose Standard's contract length, renewal mechanics, cancellation notice, implementation fees, usage limits, seat limits, or overage rules [53].
Best Suited For
Questions This Section Answers
- Who gets the most value from Muck Rack for building third-party authority in AI search?
- What team size and PR maturity does Muck Rack assume for this use case?
Muck Rack fits companies with an existing PR or communications function that needs to identify authoritative publishers and journalists, monitor resulting coverage, and connect earned-media activity to AI-search visibility [62].
The strongest-fit profiles across platform responses:
- Companies with an internal PR or communications team that needs to identify authoritative publishers and journalists [62].
- Teams seeking to monitor brand, competitor, topic, podcast, broadcast, print, social, and online coverage [62].
- Organizations that want AI-visibility signals integrated with journalist discovery, pitching, monitoring, and reporting [65].
- Mid-market B2B companies treating AI citations as a revenue variable, with PR teams of roughly 4–10 people [66].
- Brands seeking to monitor which journalists and outlets drive their AI citations [67].
- PR and communications teams executing organic earned media outreach to boost AI citations [69].
The common thread is that the buyer supplies the outreach execution. Muck Rack supplies the targeting, monitoring, and measurement layer.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Muck Rack for AI Citation Services for Building Third-Party Authority?
- Is Muck Rack a poor fit for buyers who need guaranteed AI citations or managed placements?
Muck Rack is a weak fit for buyers seeking guaranteed AI citations, managed editorial placement, or a turnkey authority-building service [70].
Specific poor-fit profiles:
- Buyers seeking a fully managed link-building, editorial-placement, or guaranteed AI-citation service [70].
- Small organizations needing transparent self-service pricing and a narrowly focused AI-search citation tracker [70].
- Teams requiring independently verified evidence that Muck Rack coverage directly improves citation frequency in a specific AI search engine [72].
- Buyers whose primary goal is mapping and improving which URLs and sources AI systems cite for their category [71].
- Buyers without PR or earned-media capacity [71].
- Startups or solopreneurs requiring transparent, published pricing without sales calls [73].
- Companies building multi-channel third-party authority across reviews, directories, and communities without PR-focused outreach [74].
- Organizations unable to commit to annual contracts with no month-to-month option [75].
- SEO teams looking for automated directory listings, citation building, or automatic backlink services [76].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Muck Rack for a buyer who needs transparent published pricing?
- When should a buyer choose a specialist AI citation service instead of Muck Rack?
Several alternatives are named in the supplied evidence for specific buyer situations.
Choose a managed digital PR or editorial-outreach agency when the buyer lacks PR staff and wants campaign execution, relationship management, and placement development rather than software [77]. Choose a dedicated AI-search visibility or answer-engine-optimization platform when the primary requirement is repeatable cross-engine citation tracking, prompt testing, source-gap analysis, and citation trend measurement [77].
Choose a broader media-intelligence vendor when the buyer needs a verified source universe, extensive international coverage, or specific social, broadcast, financial, or regulatory datasets [77]. Cision is cited with 1.4M+ contacts and broader global reach for international programs [78]. Meltwater is cited as offering a more comprehensive suite and broader LLM coverage including Grok, Mistral, and Llama [79].
For transparent self-serve pricing, Prezly ($90–150/month) and Prowly are named as offering self-serve pricing and free trials [78]. For integrated press release creation and distribution in a base plan, Prowly is named, while Muck Rack routes to third-party wire services [80].
For dedicated AI citation engineering with published rates, one platform names The HOTH, Cited, CrowdReply, Airefs, Nerativ, and Link.Build, with reported entry points starting at $10 and $40/page for some services [81]. These are vendor-owned pages and their claims are platform-reported.
For review-site, directory, or community-seeding programs rather than PR media coverage, a review/discovery or reputation-management specialist is the better fit [83].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Muck Rack about Generative Pulse tier access before signing?
- What contract, pricing, and data-coverage terms should a buyer verify before committing to Muck Rack?
The supplied platform research surfaced a consistent set of pre-purchase verification items. Buyers should confirm:
- Which AI engines, models, regions, languages, prompts, and citation types are included in AI Visibility Badges and Generative Pulse [84].
- Whether Generative Pulse is included in the quoted tier or is a Premier-only or add-on capability [85].
- Whether Muck Rack can show the exact cited URLs, publisher domains, query history, timestamps, and historical changes behind each AI-visibility result [84].
- Whether the buyer's target review sites, industry publications, communities, directories, newsletters, podcasts, and local outlets are indexed and monitorable [87].
- Which Standard features are included in the quote, and whether Generative Pulse, broadcast, social listening, podcast, print, export, or press-release capabilities cost extra [89].
- Seat, search, alert, export, monitoring, reporting, and historical-data limits [89].
- Minimum term, renewal, cancellation, implementation, onboarding, support, and price-escalation provisions [91].
- Whether Muck Rack provides managed outreach or only software, and what human services are available at each tier [92].
- What independent validation or customer-level evidence demonstrates that the platform's recommendations correlate with increased third-party AI citations [84].
- How often journalist profiles are refreshed and how the platform handles beat or outlet changes [88].
- What the data portability and export policy is if the buyer outgrows the platform [91].
Final AI Consensus Verdict
Muck Rack is a good fit for AI Citation Services for Building Third-Party Authority, with meaningful caveats that buyers should price and scope before committing.
The consensus case for Muck Rack: it was named by three of seven platforms during ranking discovery, finished first overall, and offers the most directly relevant feature in the category — Generative Pulse, which attributes AI citations to specific journalists and outlets and integrates with journalist discovery, pitching, monitoring, and reporting [93]. Its media database and multi-channel monitoring support the source-discovery half of the mandate [96].
The consensus case against treating it as a complete solution: it measures and prioritizes coverage rather than guaranteeing citations, it does not architect authority across review sites, directories, or communities, and its AI visibility methodology and tier entitlements are not fully disclosed [98]. Pricing is quote-only with annual contracts and no month-to-month option [100].
Fit ratings split accordingly: grok strong; openai, anthropic, google, and perplexity good; deepseek and kimi mixed. Buyers with an established PR function and a budget in the reported $10,000–$15,000+ annual range should evaluate Muck Rack as a primary tool. Buyers seeking guaranteed placements, transparent self-serve pricing, or multi-channel third-party authority beyond journalism should evaluate the alternatives named above first.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms that evaluated Muck Rack for the use case "AI Citation Services for Building Third-Party Authority." Each platform independently assessed fit, strengths, limitations, pricing, and alternatives, and supplied citations for its claims.
The ranking statistics reflect ranking-stage discovery only: three of seven platforms named Muck Rack during ranking, producing a 42.9% share of included platform responses, an average listed rank of 4.0, and a best rank of 1. Fit ratings reflect each platform's separate assessment of how well Muck Rack serves the use case.
All citations are platform-reported evidence. Company-owned pages are labeled as owned sources; independent reviews, journalism, and third-party analyses are labeled as independent. No claim in this review was independently verified by the writer.
Methodology Limitations
Several limitations apply to this review.
Platform-reported research dates differ from the authoritative run date of 2026-09-17. Deepseek's research is dated 2026-06-01; the other six platforms are dated 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named Muck Rack during ranking discovery. Four platforms evaluated fit without naming it in ranking, so the 42.9% share understates total evaluation coverage.
Official-site retrieval failed for Muck Rack's homepage during ranking-stage normalization (HTTP 403), so some identity and product details rest on secondary sources and require direct verification [101].
Pricing conflicts were not resolved. Reported annual ranges vary from roughly $5,000 to $50,000+ depending on source, tier, and seat count, and no public rate card exists [102].
Generative Pulse tier availability conflicts across sources: one states Premier subscription, another states Brand Premier and Agency Premier customers, and a third states Premier-tier only [105].
Database size reporting is inconsistent. Muck Rack states 600,000+ outlets as of 2023, while some sources reference 800,000 podcasts [108].
Generative Pulse research methodology varies across editions, with cited sample sizes ranging from 1 million to 25 million+ links, making precise citation percentages uncertain across time [110].
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Claims about database scale, coverage breadth, accuracy, and continuous updates are platform-reported and were not independently validated in the reviewed sources [111].
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- Citation Outreach for AI Search Visibility — CrowdReply: https://crowdreply.io/features/citation-outreach
- Press | Generative Pulse by Muck Rack: https://generativepulse.ai/press/
- Brand Mention Service — Get Cited by ChatGPT | Airefs: https://getairefs.com/services/brand-mentions/
- AI Citation Building Services | Link.Build: https://link.build/ai-citation-building
- Muck Rack official site: https://muckrack.com/
- Level up your media relations and media monitoring with Muck Rack's latest AI-powered features | Muck Rack Blog: https://muckrack.com/blog/2023/10/25/ai-powered-features-media-relations-and-media-monitoring
- Introducing Generative Pulse by Muck Rack | Muck Rack Blog: https://muckrack.com/blog/2025/07/30/introducing-generative-pulse
- How earned media shapes what AI says about your brand | Muck Rack Blog: https://muckrack.com/blog/earned-media-ai-brand-visibility
- Generative Pulse brings real-world AI search data to GEO monitoring: https://muckrack.com/blog/real-world-ai-search-data-to-geo-monitoring
- How AI citations have changed in the last 6 months: New insights from ‘What is AI Reading?’: https://muckrack.com/blog/what-is-ai-reading-new-insights-may
- Generative Pulse By Muck Rack | Muck Rack: https://muckrack.com/generative-pulse-preview
- Broadcast Monitoring | Muck Rack: https://muckrack.com/pr-software/broadcast-monitoring
- Media Database: https://muckrack.com/pr-software/media-database
- Media Monitoring & Real-Time Alerts: https://muckrack.com/pr-software/media-monitoring-alerts
- PR Reporting and Analytics: https://muckrack.com/pr-software/reporting
- Pricing: https://muckrack.com/pricing
- Media monitoring with AI and integrated analytics: https://muckrack.com/resources/guides/media-monitoring
- LLM Citations: Get Your Brand Cited by AI | Nerativ: https://nerativ.co/llm-citations/
- AI Citation Building Services: https://opositive.io/services/ai-citation-building-services
- Generative Pulse: Generative engine optimization for PR and Marketing teams: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEuwyeSBCkCSOcSbs_mUFFfx6kqCaYJQnlc7Z1LTWKIKP-QjjP3Q6WPG7r8zMHtSrZCMBaAYLp8TqeG2fDlk2Xy2uVccQDH5ElC4Nk_BDU0_io=
- Generative Pulse brings real-world AI search data to GEO monitoring | Muck Rack Blog: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFUKOTNOnFb59GFAKkWXQyUxI2YrjMcApoNihIS6V6y_NX4W3vaUDTARDeqMdO34OEAnAFILLmNGqRdPYpuxUDgHQcqvDP8cAvf49m2xQyuSHVZVwAFtE0JZzmybxDsrhhktQR4Aga818xWA0U4EjZm0OnuNT7TPgJgFA==
- How It Works — Cited: https://wearecited.com/how-it-works
- Muck Rack's Global Media Monitoring Now Covers Over 600,000 Outlets | Business Wire: https://www.businesswire.com/news/home/20230321005267/en
- Muck Rack is First Communications Platform to Bring Real-World AI Search Data to GEO Monitoring: https://www.globenewswire.com/news-release/2026/09/10/3359546/0/en/muck-rack-is-first-communications-platform-to-bring-real-world-ai-search-data-to-geo-monitoring.html
- AI Visibility Services | Get Cited in AI Overviews, ChatGPT, and Perplexity | The HOTH: https://www.thehoth.com/ai-search-visibility/
Additional AI research evidence111 records
- AI research evidence record openai:c1
- AI research evidence record grok:1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-4
- AI research evidence record google:2.1.8
- AI research evidence record google:2.2.7
- AI research evidence record anthropic:31-2
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:33-2
- AI research evidence record google:2.2.8
- AI research evidence record openai:c6
- AI research evidence record anthropic:11-6
- AI research evidence record perplexity:c8
- AI research evidence record openai:c1
- AI research evidence record openai:c8
- AI research evidence record anthropic:3-6
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:24-4
- AI research evidence record anthropic:33-2
- AI research evidence record anthropic:26-12
- AI research evidence record google:1.3.5
- AI research evidence record google:1.3.8
- AI research evidence record anthropic:43-8
- AI research evidence record google:2.1.5
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:24-7
- AI research evidence record google:2.1.6
- AI research evidence record google:1.3.6
- AI research evidence record anthropic:43-8
- AI research evidence record kimi:opositive_citation
- AI research evidence record kimi:muckrack_unverified
- AI research evidence record google:2.2.7
- AI research evidence record google:2.2.5
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c9
- AI research evidence record openai:c3
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:4-1
- AI research evidence record openai:c2
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record openai:c7
- AI research evidence record anthropic:30-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:40-2
- AI research evidence record openai:c5
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c8
- AI research evidence record google:1.2.7
- AI research evidence record perplexity:c13
- AI research evidence record perplexity:c14
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c4
- AI research evidence record openai:c7
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:32-4
- AI research evidence record google:2.1.8
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:43-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.3.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-1
- AI research evidence record google:2.2.5
- AI research evidence record anthropic:40-2
- AI research evidence record kimi:hoth_ai_visibility
- AI research evidence record kimi:link_build
- AI research evidence record perplexity:c3
- AI research evidence record openai:c9
- AI research evidence record anthropic:31-2
- AI research evidence record google:2.2.8
- AI research evidence record openai:c8
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c5
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:17-2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-1
- AI research evidence record google:2.1.8
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:43-8
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:16-1
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:33-2
- AI research evidence record google:2.2.8
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:26-12
- AI research evidence record openai:c9
Independent Sources
- Muck Rack vs Cision 2026: https://authoritytech.io/blog/cision-vs-muck-rack-2026
- Muck Rack Alternatives 2026: https://authoritytech.io/blog/muck-rack-alternatives-2026
- Muck Rack Pricing 2026: Plans, Costs & Real Data - Muck Rack: https://checkthat.ai/brands/muck-rack/pricing
- Muck Rack pricing (2026): plans, free tier & compliance · The: https://frontdeskreview.com/software/digital-pr/muck-rack/
- Muck Rack Pricing (2026): How Much Does It Cost? | Rephonic: https://rephonic.com/blog/muck-rack-pricing/
- Muck Rack Review: Pricing, Features, Alternatives (2026) · SaaSTracker: https://saastracker.org/products/muck-rack
- Elmo vs Generative Pulse | AI Visibility Tool Comparison: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEBuWYCRoMb-gOaNeM4hebJpRCT5jkfP18xrR809m8odRZ4ed2BRS5W0z35IWS9g8yLQxblJ7kFB_FOHj_k46V7WSPHi5t9MT18nek0votQ5wuot6liZuipLbeALHmjKvkroHgFD6UHZ57_q63fZn8xosEVjjmmHcX9
- AI Brand Monitoring and Citation Building | Loopex Digital: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF-aJpi7zOjDJ25Q9G3_5uZK13K5ug2pStc42dQLb2JZ1R-sVn7Jeg2yOZRCab22GcWhROP7RloAqNRiEk48bak0jYv2p3TdQ2L1hT01Nv631gCROpbUN1fuNyQd_5Z_tdecIGdtVYiezWUaCs=
- Muck Rack vs. Truescope: an honest comparison for PR and communications teams: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFAopEJuPkELn-Q7izjD6sUn7sfUdQd4tK20hnWtWMHo_MOirDahFaAdkyX676ZsDCjsf73v1tx23PxNbxGULIgrNQ_-xLnEoZ-Dh3NY6UawejU42zeGlefGdzxy-zoIre-TGkFzKo=
- PR software vendors race to add AI features to comms tools PR Tech Sum No. 63: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFY295qCGvV-ZToh9eza791ax1cA2lCGizuzuJxHLTM7iS95nSBVZAUnBm91sN_42JWn1JUJmcSrf5cSQdZ3PxvCK2YhQuCmrtb2SxsgOhMO_6D2_B6MvZAMdP2l2J-V6na8siUSdcfOisQFss3JeE=
- How Earned Media Drives AI Citations: Why PR Coverage Is the Foundation of AI Visibility: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHs8YxM5WR7Fn8iTI-U2SNI7FpAyrEYGKtPkBiiWvZ_0Rk2bgQ4VWFetlasO0NHRj7cw4vLqbmBaUUkew_tGsKFJK6mr127PEoTBPJWaPDXkDwFEavyW0O_WpBVz7bItIxWHoI4r_2NL9DikGFx-d8=
- Muck Rack lays off 19% of staff: https://www.adweek.com/media/muck-rack-lays-off-19-of-staff/
- Top 5 Muck Rack Alternatives for PR Teams in 2025: https://www.agilitypr.com/pr-news/agility-news-reports/muck-rack-alternatives/
- Muck Rack Generative Pulse Product Review - Michael Brito: https://www.britopian.com/geo/muck-rack-generative-pulse-product-review/
- Muck Rack Launches Major Measurement and Reporting Enhancements: https://www.businesswire.com/news/home/20240305573525/en/Muck-Rack-Launches-Major-Measurement-and-Reporting-Enhancements
- Why 84% of AI citations come from third-party sites and how to earn them (2026: https://www.cognizo.ai/blog/third-party-ai-citations
- Muck Rack Reviews & Ratings 2026 | Gartner Peer Insights: https://www.gartner.com/reviews/market/public-relations-software/vendor/muck-rack/product/muck-rack-prm-platform
- Muck Rack Review (2026) - Marketraa: https://www.marketraa.com/tools/muck-rack/
- The 5 Best Muck Rack Competitors & Alternatives (in 2026: https://www.prezly.com/academy/muck-rack-competitors
- Muck Rack Pricing Guide 2026: Costs & Plans Broken Down: https://www.prezly.com/academy/muck-rack-pricing-guide
- Best Muck Rack Alternatives for PR Teams in 2026: A Complete Comparison | Shadow: https://www.shadow.inc/resources/best-muck-rack-alternatives
- Muck Rack Pricing (2026): Plans, Costs, and What You Actually Pay | Shadow: https://www.shadow.inc/resources/muck-rack-pricing
- Muck Rack Software Pricing & Plans 2026: See Your Cost: https://www.vendr.com/marketplace/muck-rack
Additional AI research evidence111 records
- AI research evidence record openai:c1
- AI research evidence record grok:1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-4
- AI research evidence record google:2.1.8
- AI research evidence record google:2.2.7
- AI research evidence record anthropic:31-2
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:33-2
- AI research evidence record google:2.2.8
- AI research evidence record openai:c6
- AI research evidence record anthropic:11-6
- AI research evidence record perplexity:c8
- AI research evidence record openai:c1
- AI research evidence record openai:c8
- AI research evidence record anthropic:3-6
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:24-4
- AI research evidence record anthropic:33-2
- AI research evidence record anthropic:26-12
- AI research evidence record google:1.3.5
- AI research evidence record google:1.3.8
- AI research evidence record anthropic:43-8
- AI research evidence record google:2.1.5
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:24-7
- AI research evidence record google:2.1.6
- AI research evidence record google:1.3.6
- AI research evidence record anthropic:43-8
- AI research evidence record kimi:opositive_citation
- AI research evidence record kimi:muckrack_unverified
- AI research evidence record google:2.2.7
- AI research evidence record google:2.2.5
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c9
- AI research evidence record openai:c3
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:4-1
- AI research evidence record openai:c2
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record openai:c7
- AI research evidence record anthropic:30-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:40-2
- AI research evidence record openai:c5
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c8
- AI research evidence record google:1.2.7
- AI research evidence record perplexity:c13
- AI research evidence record perplexity:c14
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c4
- AI research evidence record openai:c7
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:32-4
- AI research evidence record google:2.1.8
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:43-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.3.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-1
- AI research evidence record google:2.2.5
- AI research evidence record anthropic:40-2
- AI research evidence record kimi:hoth_ai_visibility
- AI research evidence record kimi:link_build
- AI research evidence record perplexity:c3
- AI research evidence record openai:c9
- AI research evidence record anthropic:31-2
- AI research evidence record google:2.2.8
- AI research evidence record openai:c8
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c5
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:17-2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:30-1
- AI research evidence record google:2.1.8
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:43-8
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:16-1
- AI research evidence record google:1.2.1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:33-2
- AI research evidence record google:2.2.8
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:26-12
- AI research evidence record openai:c9
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 54
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
27 independent · 27 company-owned
Evidence support
46 direct · 7 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 fe3aa0f1035e9efe35919e663b1c636965c691504b3ea36b35443cdb6cb28a0d